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公开(公告)号:US11718312B2
公开(公告)日:2023-08-08
申请号:US17497283
申请日:2021-10-08
Applicant: TUSIMPLE, INC.
Inventor: Cheng Zhang , Xiaodi Hou , Sven Kratz
CPC classification number: B60W50/14 , B60W40/04 , B60W40/08 , G05D1/0212 , H04R5/02 , B60W2510/18 , B60W2540/229 , B60W2555/20 , H04R2499/13
Abstract: Disclosed are devices, systems and methods for an audio assistant in an autonomous or semi-autonomous vehicle. In one aspect the informational audio assistant receives a first set of data from a vehicle sensor and identifies an object or condition using the data from the vehicle sensor. Audio is generated representative of a perceived danger of an object or condition. A second set of data from the vehicle sensor subsystem is received and the informational audio assistant determines whether an increased danger exists based on a comparison of the first set of data to the second set of data. The informational audio assistant will apply a sound profile to the generated audio based on the increased danger.
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公开(公告)号:US11104334B2
公开(公告)日:2021-08-31
申请号:US15994138
申请日:2018-05-31
Applicant: TuSimple, Inc.
Inventor: Zhipeng Yan , Mingdong Wang , Siyuan Liu , Xiaodi Hou
Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.
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公开(公告)号:US20200298863A1
公开(公告)日:2020-09-24
申请号:US16900611
申请日:2020-06-12
Applicant: TUSIMPLE, INC.
Inventor: Wutu LIN , Xiaodi Hou
IPC: B60W40/04 , G01S13/931 , G01C21/20 , G05D1/02 , G05D1/00 , G01S17/931
Abstract: A system and method for path planning of autonomous vehicles based on gradient are disclosed. A particular embodiment includes: generating and scoring a first suggested trajectory for an autonomous vehicle; generating a trajectory gradient based on the first suggested trajectory; generating and scoring a second suggested trajectory for the autonomous vehicle, the second suggested trajectory being based on the first suggested trajectory and a human driving model; and outputting the second suggested trajectory if the score corresponding to the second suggested trajectory is within a score differential threshold relative to the score corresponding to the first suggested trajectory.
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公开(公告)号:US11948082B2
公开(公告)日:2024-04-02
申请号:US17401781
申请日:2021-08-13
Applicant: TUSIMPLE, INC.
Inventor: Zhipeng Yan , Mingdong Wang , Siyuan Liu , Xiaodi Hou
IPC: G06N3/08 , B60W30/09 , B60W30/095 , G05D1/00 , G05D1/02 , G06F18/20 , G06N5/046 , G06N7/01 , G06V10/764 , G06V20/58
CPC classification number: G06N3/08 , B60W30/09 , B60W30/0956 , G05D1/027 , G06F18/295 , G06N5/046 , G06N7/01 , G06V10/764 , G06V20/58 , G06V20/584 , B60W2420/42 , B60W2420/52 , B60W2556/50 , B60W2556/60
Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.
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35.
公开(公告)号:US11874130B2
公开(公告)日:2024-01-16
申请号:US18158974
申请日:2023-01-24
Applicant: TuSimple, Inc.
Inventor: Siyuan Liu , Mingdong Wang , Xiaodi Hou
CPC classification number: G01C21/3658 , G06V20/588 , G01S17/86 , G01S17/89 , G06V2201/10
Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.
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公开(公告)号:US11715277B2
公开(公告)日:2023-08-01
申请号:US16909950
申请日:2020-06-23
Applicant: TUSIMPLE, INC.
Inventor: Siyuan Liu , Lingting Ge , Chenzhe Qian , Zehua Huang , Xiaodi Hou
CPC classification number: G06V10/25 , B60W60/0025 , G06T7/11 , G06T7/70 , G06T11/20 , G06V10/82 , G06V20/58 , G06V20/584 , B60W2420/42 , B60W2554/00 , G06T2207/20132 , G06T2207/30236 , G06T2207/30252 , G06T2210/12
Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.
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公开(公告)号:US11702108B2
公开(公告)日:2023-07-18
申请号:US17019135
申请日:2020-09-11
Applicant: TUSIMPLE, INC.
Inventor: Charles A. Price , Zehua Huang , Xiaoling Han , Ruiliang Zhang , Xiaodi Hou
IPC: B60W60/00 , B60W30/095 , G08G1/14 , G08G1/16 , G01C21/00
CPC classification number: B60W60/0017 , B60W30/0956 , B60W60/0027 , G01C21/3815 , G08G1/143 , G08G1/16 , B60W2420/42 , B60W2420/52 , B60W2510/0604 , B60W2510/1005 , B60W2510/18 , B60W2510/20 , B60W2554/20 , B60W2554/4041 , B60W2554/4044
Abstract: Disclosed are distributed computing systems and methods for controlling multiple autonomous control modules and subsystems in an autonomous vehicle. In some aspects of the disclosed technology, a computing architecture for an autonomous vehicle includes distributing the complexity of autonomous vehicle operation, thereby avoiding the use of a single high-performance computing system and enabling off-the-shelf components to be use more readily and reducing system failure rates.
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公开(公告)号:US20230113208A1
公开(公告)日:2023-04-13
申请号:US18061422
申请日:2022-12-02
Applicant: TUSIMPLE, INC.
Inventor: Zhujia Shi , Charles A. Price , Zehua Huang , Xiaodi Hou , Xiaoling Han , Todd Skinner
Abstract: Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.
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公开(公告)号:US11580754B2
公开(公告)日:2023-02-14
申请号:US16846205
申请日:2020-04-10
Applicant: TUSIMPLE, INC.
Inventor: Xue Mei , Xiaodi Hou , Dazhou Guo , Yujie Wei
IPC: G06K9/00 , G06V20/56 , B60R11/04 , G07C5/00 , G01S17/42 , G06N3/02 , G06T7/10 , G06T7/246 , G06T5/50 , G06N3/04 , G06N3/08 , G01C21/00
Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
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40.
公开(公告)号:US11557128B2
公开(公告)日:2023-01-17
申请号:US16752637
申请日:2020-01-25
Applicant: TuSimple, Inc.
Inventor: Chenyang Li , Xiaodi Hou , Siyuan Liu
IPC: G06V20/58 , G01S17/58 , G01S17/66 , G01S17/08 , G01S17/88 , G01S7/48 , G01S17/86 , G01S17/931 , G08G1/16
Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed. A particular embodiment includes: receiving input object data from a subsystem of an autonomous vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device; determining a two-dimensional (2D) position of a proximate object near the autonomous vehicle using the image data received from the image generating device; tracking a three-dimensional (3D) position of the proximate object using the distance data received from the distance measuring device over a plurality of cycles and generating tracking data; determining a 3D position of the proximate object using the 2D position, the distance data received from the distance measuring device, and the tracking data; determining a velocity of the proximate object using the 3D position and the tracking data; and outputting the 3D position and velocity of the proximate object relative to the autonomous vehicle.
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